Ikram Amous

1.2k total citations
95 papers, 515 citations indexed

About

Ikram Amous is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Ikram Amous has authored 95 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Information Systems, 37 papers in Artificial Intelligence and 31 papers in Computer Networks and Communications. Recurrent topics in Ikram Amous's work include Service-Oriented Architecture and Web Services (31 papers), Semantic Web and Ontologies (15 papers) and Context-Aware Activity Recognition Systems (14 papers). Ikram Amous is often cited by papers focused on Service-Oriented Architecture and Web Services (31 papers), Semantic Web and Ontologies (15 papers) and Context-Aware Activity Recognition Systems (14 papers). Ikram Amous collaborates with scholars based in Tunisia, France and Saudi Arabia. Ikram Amous's co-authors include Corinne Amel Zayani, Florence Sèdes, Faı̈ez Gargouri, Salma Jamoussi, Abdelmajid Ben Hamadou, Ronan Champagnat, Layth Sliman, Henri Nicolas and Mohamed Ben Aouicha and has published in prestigious journals such as Future Generation Computer Systems, Neural Computing and Applications and Journal of Systems and Software.

In The Last Decade

Ikram Amous

85 papers receiving 481 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ikram Amous Tunisia 11 295 199 178 108 46 95 515
Xiaoxue Zhao China 10 214 0.7× 167 0.8× 80 0.4× 62 0.6× 46 1.0× 33 490
Tariq Mahmood Pakistan 10 318 1.1× 234 1.2× 106 0.6× 60 0.6× 44 1.0× 36 536
Federico Michele Facca Italy 12 405 1.4× 213 1.1× 193 1.1× 72 0.7× 38 0.8× 30 591
James Michaelis United States 10 155 0.5× 268 1.3× 202 1.1× 46 0.4× 39 0.8× 37 561
Rattikorn Hewett United States 12 239 0.8× 171 0.9× 145 0.8× 40 0.4× 56 1.2× 86 493
Weihong Wang China 10 270 0.9× 171 0.9× 123 0.7× 184 1.7× 30 0.7× 45 549
Jeromy Carrière United States 6 295 1.0× 266 1.3× 158 0.9× 74 0.7× 27 0.6× 8 445
Hema Banati India 11 163 0.6× 263 1.3× 85 0.5× 42 0.4× 46 1.0× 64 471
Óscar Sanjuán Martínez Spain 13 279 0.9× 157 0.8× 119 0.7× 106 1.0× 43 0.9× 46 506

Countries citing papers authored by Ikram Amous

Since Specialization
Citations

This map shows the geographic impact of Ikram Amous's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ikram Amous with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ikram Amous more than expected).

Fields of papers citing papers by Ikram Amous

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ikram Amous. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ikram Amous. The network helps show where Ikram Amous may publish in the future.

Co-authorship network of co-authors of Ikram Amous

This figure shows the co-authorship network connecting the top 25 collaborators of Ikram Amous. A scholar is included among the top collaborators of Ikram Amous based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ikram Amous. Ikram Amous is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Amous, Ikram, et al.. (2024). MeSH-Based Semantic Weighting Scheme to Enhance Document Indexing: Application on Biomedical Document Classification. Journal of Information & Knowledge Management. 24(3). 1 indexed citations
2.
Amous, Ikram, et al.. (2024). Real-time prevention of trust-related attacks in social IoT using blockchain and Apache spark. Computer Communications. 225. 65–82. 1 indexed citations
3.
Amous, Ikram, et al.. (2024). Deep learning-based few-shot person re-identification from top-view RGB and depth images. Neural Computing and Applications. 36(31). 19365–19382. 7 indexed citations
4.
Amous, Ikram, et al.. (2024). Trust attack prevention based on Spark-blockchain in social IoT: a survey. International Journal of Information Security. 23(5). 3179–3198. 2 indexed citations
5.
Amous, Ikram, et al.. (2024). Intelligent Transportation Systems: A Survey on Data Engineering. 169–179.
7.
Amous, Ikram, et al.. (2023). Efficient IoT resource discovery approach based on P2P networks and Fog Computing. Internet of Things. 24. 100954–100954. 4 indexed citations
8.
Amous, Ikram, et al.. (2023). Correction: Improved clustering-based hybrid recommendation system to offer personalized cloud services. Cluster Computing. 27(3). 2875–2875.
9.
Amous, Ikram, et al.. (2023). Convolutional Neural Network for Head Segmentation and Counting in Crowded Retail Environment Using Top-view Depth Images. Arabian Journal for Science and Engineering. 49(3). 3735–3749. 5 indexed citations
10.
Amous, Ikram, et al.. (2023). Improved clustering-based hybrid recommendation system to offer personalized cloud services. Cluster Computing. 27(3). 2845–2874. 5 indexed citations
11.
Amous, Ikram, et al.. (2023). An Efficient Real Time Intrusion Detection System for Big Data Environment. 1 indexed citations
12.
Amous, Ikram, et al.. (2023). Monitoring and analyzing as a service (MAaaS) through cloud edge based on intelligent transportation applications. Cluster Computing. 27(3). 3379–3395. 4 indexed citations
13.
Amous, Ikram, et al.. (2022). Description, discovery, and recommendation of Cloud services: a survey. Service Oriented Computing and Applications. 16(3). 147–166. 6 indexed citations
15.
Amous, Ikram, et al.. (2021). Cloud services description ontology used for service selection. Service Oriented Computing and Applications. 16(1). 17–30. 3 indexed citations
16.
Amous, Ikram, et al.. (2019). Enhanced semantic similarity measure based on two‐level retrieval model. Concurrency and Computation Practice and Experience. 31(15). 7 indexed citations
17.
Amous, Ikram, et al.. (2018). Efficient cloud service discovery approach based on LDA topic modeling. Journal of Systems and Software. 146. 233–248. 27 indexed citations
18.
Zayani, Corinne Amel, et al.. (2017). Semi-supervised algorithm with knowledge-based features for learner's profiles interoperability. International Journal of Technology Enhanced Learning. 10(1/2). 137–137. 1 indexed citations
19.
Amous, Ikram, et al.. (2005). Contribution to graphical querying language for XML semi-structured data.. 122–127.
20.
Amous, Ikram, et al.. (2005). Towards an approach for adaptive web applications requirements engineering. 605–618. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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